Innovative Horizons
Advances in business strategy and competitive advantage book series,
Год журнала:
2025,
Номер
unknown, С. 271 - 310
Опубликована: Янв. 23, 2025
A
new
era
of
efficiency,
innovation,
and
sustainability
in
supply
chain
management
has
been
brought
about
by
the
integration
Artificial
Intelligence
(AI)
Machine
Learning
(ML)
technologies.
Exploring
moral
effects
using
AI
ML
chains,
looking
at
matters
like
data
privacy,
algorithmic
bias,
decision-making
accountability.
Additionally,
critical
role
that
play
advancing
sustainable
practices
chains
is
discussed.
Overall,
chapter
thoroughly
examines
various
aspects
covering
everything
from
risk
techniques,
human-machine
interaction,
ethical
issues
to
initiatives
economic
effects.
Organizations
can
leverage
full
potential
drive
sustainability,
prosperity
operations
addressing
these
crucial
navigating
challenges
digital
transformation.
Язык: Английский
Artificial Intelligence in Financial Behavior: Bibliometric Ideas and New Opportunities
Journal of risk and financial management,
Год журнала:
2025,
Номер
18(3), С. 159 - 159
Опубликована: Март 17, 2025
Artificial
intelligence
is
transforming
financial
behavior
and
decision-making
processes,
offering
new
opportunities
to
optimize
systems
reduce
bias.
This
study
explores
the
intersection
of
AI
using
bibliometric
analysis
identify
trends,
gaps,
emerging
directions
in
this
rapidly
evolving
field.
A
total
1019
documents
are
available
Scopus
for
period
1987–2024.
The
articles
analyzed
Bibliometrix
R
package
Bibliophagy
graphical
user
interface.
Key
findings
show
a
robust
annual
growth
rate
13.34%,
highlighting
growing
relevance
topic.
revealed
central
themes
such
as
machine
learning,
decision-making,
inclusion,
along
with
critical
gaps
ethical
considerations,
regional
disparities,
practical
applications
marginalized
populations.
Leading
contributors
influential
sources,
including
journals
IEE
Access
Expert
Systems
Applications,
were
mapped
understand
intellectual
structure
highlights
urgent
need
address
mitigate
algorithmic
biases
ensure
fairness,
transparency,
outcomes
AI-driven
systems.
It
also
importance
improving
literacy
adapting
tools
fair
inclusion.
These
insights
provide
roadmap
future
research
innovation,
ensuring
that
integrated
into
ethically
effectively
promote
more
inclusive
global
ecosystem.
Язык: Английский
The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems
Energies,
Год журнала:
2024,
Номер
17(24), С. 6271 - 6271
Опубликована: Дек. 12, 2024
The
global
transport
sector,
a
significant
contributor
to
energy
consumption
and
greenhouse
gas
(GHG)
emissions,
requires
innovative
solutions
meet
sustainability
goals.
Artificial
intelligence
(AI)
has
emerged
as
transformative
technology,
offering
opportunities
enhance
efficiency
reduce
GHG
emissions
in
systems.
This
study
provides
comprehensive
review
of
AI’s
role
optimizing
vehicle
management,
traffic
flow,
alternative
fuel
technologies,
such
hydrogen
cells
biofuels.
It
explores
potential
drive
advancements
electric
autonomous
vehicles,
shared
mobility,
smart
transportation
economic
analysis
demonstrates
the
viability
AI-enhanced
transport,
considering
Total
Cost
Ownership
(TCO)
cost-benefit
outcomes.
However,
challenges
data
quality,
computational
demands,
system
integration,
ethical
concerns
must
be
addressed
fully
harness
potential.
also
highlights
policy
implications
AI
adoption,
underscoring
need
for
supportive
regulatory
frameworks
policies
that
promote
innovation
while
ensuring
safety
fairness.
Язык: Английский
Ethical Frameworks for Use in Artificial Intelligence Systems
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 122 - 154
Опубликована: Авг. 21, 2024
The
chapter
examines
the
ethical
landscape
of
AI,
focusing
on
development
and
deployment
Responsible
AI
systems.
increased
systems
powered
by
artificial
intelligence
technologies
necessitates
making
work
more
predictable,
trustworthy,
ethical.
such
require
use
AI.
A
healthcare
system,
for
example,
is
a
classic
system
where
used
in
collaborations
decision-making.
Studying
allows
us
to
understand
historical
context
evolution
Ethics
challenges
risks
associated
with
Ethical
frameworks
six
assurance
goals,
existing
guidelines,
core
principles
behind
them.
Future
considerations
further
research
that
emerge
because
evolving
concerns
potential
misuse
are
discussed.
Язык: Английский